Effectiveness of brief prompting instruction in AI-assisted communicative practice in foreign language classes
Vol.19,No.1(2026)
Discourse and Interaction
The case study, conducted in September 2024, investigates the impact of prompting instruction on the communicative skills of Czech learners of English. The main goal of the experiment was to see how pre-taught pragmatics-based prompting strategies affect human-chatbot interaction efficiency. The findings show that brief instruction in prompting significantly improves task completion, reduces misunderstandings and turn-taking, and enhances communicative outcomes, especially in complex tasks (such as synthesis, analysis, and emotional response). However, the study also evidences learners’ dissatisfaction when comparing chatbot to human interaction, citing a lack of shared context, cooperation, and non-verbal cues.
chatbots; communicative practice; artificial intelligence (AI); English as a foreign language (EFL)
Alexey Tymbay
Technical University of Liberec, Liberec, Czech Republic
Alexey Tymbay is an Assistant Professor at the Department of English at the Technical University of Liberec. He teaches a range of courses in linguistics, EFL methodology, and related disciplines. He has also authored several publications on English phonology, political discourse analysis, and communicative linguistics. His research interests include phonetics, pragmatics, and EFL methodology.
ORCID ID: https://orcid.org/0000-0003-2061-0263
Chang, W. L., & Sun, J. C. Y. (2024). Evaluating AI’s impact on self-regulated language
learning: A systematic review. System, 126, 103484. https://doi.org/10.1016/j.system.2024.103484
Dolenc, K., & Brumen, M. (2024). Exploring social and computer science students’ perceptions of AI integration in (foreign) language instruction. Computers and Education: Artificial Intelligence, 7, 100285. https://doi.org/10.1016/j.caeai.2024.100285
Grice, P. (1975). Logic and conversation. In P. Cole & J. Morgan (Eds.), Syntax and Semantics: Speech Acts (Vol. 3, pp. 41–58). Academic Press.
Grice, H. P. (1989). Studies in the Way of Words. Harvard University Press.
Hill, J. W., Ford, R., & Farreras, I. G. (2015). Real conversations with artificial intelligence: A comparison between human–human online conversations and human-chatbot conversations. Computers in Human Behavior, 49, 245–250. https://doi.org/10.1016/j.chb.2015.02.026
Jacquet, B., Hullin, A., Baratgin, J., & Jamet, F. (2019). The impact of the Gricean maxims of quality, quantity, and manner in chatbots. In 2019 International Conference on Information and Digital Technologies (pp. 180–189).
Kecskés, I., & Dinh, H. (2025). “ChatGPT for intercultural pragmatic learning? potentially, but not yet” – The question of using AI to develop students’ intercultural pragmatic competence. Intercultural Pragmatics, 22(2), 369–397. https://doi.org/10.1515/ip2025-2008
Kim, S., Eun, J., Oh, C., Suh, B., & Lee, J. (2020). Bot in the bunch: Facilitating group chat discussion by improving efficiency and participation with a chatbot. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ‘20) (pp. 1–13). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376785
Lai, Z. C. C. (2025). The impact of AI-assisted blended learning on writing efficacy and resilience. International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 15(1), 1–21. https://doi.orrg/10.4018/IJCALLT.377174
Lewis, D. (2008). Convention: A philosophical study. John Wiley & Sons.
Liang, W., & Wu, Y. (2024). Exploring the use of ChatGPT to foster EFL learners’ critical thinking skills from a post-humanist perspective. Thinking Skills and Creativity, 54, 101645. https://doi.org/10.1016/j.tsc.2024.101645
Mendez, S. L., Conley, V. M., Johanson, K., Gosha, K., Mack, N. A., Haynes, C. L., & Gerhardt, R. A. (2019). The use of chatbots in future faculty mentoring: A case of the engineering professoriate. In 2019 ASEE Annual Conference & Exposition, 25701.
Muñoz, B. C. M., Nassaji, H., & Carrillo, F. I. B. (2025). ChatGPT-generated versus human direct corrective feedback on L2 writing. System, 134, 103805. https://doi.org/10.1016/j.system.2025.103805
Pérez-Marín, D., & Pascual-Nieto, I. (2013). An exploratory study on how children interact with pedagogic conversational agents. Behaviour & Information Technology, 32(9), 955–974. https://doi.org/10.1080/0144929x.2012.687774
Ruan, S., Jiang, L., Xu, J., Tham, B. J.-K., Qiu, Z., Zhu, Y., Murnane, E. L., Brunskill, E., & Landay, J. A. (2019). QuizBot: A dialogue-based adaptive learning system for factual knowledge. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19) (pp. 1–13). Association for Computing Machinery. https://doi.org/10.1145/3290605.3300587
Teng, M. F. (2024). “ChatGPT is the companion, not enemies”: EFL learners’ perceptions and experiences in using ChatGPT for feedback in writing. Computers and Education: Artificial Intelligence, 7, 100270. https://doi.org/10.1016/j.caeai.2024.100270
Tymbay, A. (2026). Open-data-repository/human-chatbot-interaction. GitHub. https://github.com/open-data-repository/human-chatbot-interaction
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